Leyla Isik

Leyla Isik
Leyla
Isik
Research Affiliate
Johns Hopkins University
Lab Affiliation(s):  Kanwisher Lab Kreiman Lab

Associated Research Module: 

Associated Research Thrust: 

Leyla is a postdoctoral researcher co-advised by Nancy Kanwisher and Gabriel Kreiman. She is interested in understanding how the brain extracts visual and social information (such as who you are looking at, what that person is doing, and who they are interacting with) from complex scenes. She studies this problem using a combination of human neuroimaging, intracranial recordings, and machine learning.

Leyla completed her PhD in Computational and Systems Biology at MIT where she was advised by Tomaso Poggio and studied the dynamics of object and action recognition in the human brain using a combination of MEG decoding and computational modeling.

Faculty Profile
Website: 
Advisor/s: 
Gabriel Kreiman, Nancy Kanwisher

Past Advisees

Diana Dima - Postdoc
Elizabeth Merritt Eastman - Graduate Student

Projects

Invariant representations for action recognition in the human visual system
Selectivity and invariance in dynamic movie stimuli
The computational role of eccentricity dependent resolution in the retina: consequences for hierarchical models of object recognition
Visual processing with minimal recognizable configurations

CBMM Publications

B. Peters, DiCarlo, J. J., Gureckis, T., Haefner, R., Isik, L., Tenenbaum, J., Konkle, T., Naselaris, T., Stachenfeld, K., Tavares, Z., Tsao, D., Yildirim, I., and Kriegeskorte, N., “How does the primate brain combine generative and discriminative computations in vision?”, arXiv, 2024.
L. Isik, Mynick, A., Pantazis, D., and Kanwisher, N., “The speed of human social interaction perception”, NeuroImage, p. 116844, 2020.
K. Dobs, Isik, L., Pantazis, D., and Kanwisher, N., “How face perception unfolds over time”, Nature Communications, vol. 10, no. 1, 2019.
L. Isik, Tacchetti, A., and Poggio, T., “A fast, invariant representation for human action in the visual system”, Journal of Neurophysiology, 2018.
L. Isik and Tacchetti, A., “MEG action recognition data”. 2018.
L. Isik, Singer, J., Kanwisher, N., ,, WS, A., and Kreiman, G., “What is changing when: decoding visual information in movies from human intracranial recordings”, NeuroImage, vol. 180, Part A, pp. 147-159, 2018.
A. Tacchetti, Isik, L., and Poggio, T., “Invariant Recognition Shapes Neural Representations of Visual Input”, Annual Review of Vision Science, vol. 4, no. 1, pp. 403 - 422, 2018.
F. Chen, Roig, G., Isik, L., Boix, X., and Poggio, T., “Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision”, in AAAI Spring Symposium Series, Science of Intelligence, 2017.
A. Tacchetti, Isik, L., and Poggio, T., “Invariant recognition drives neural representations of action sequences”, PLoS Comp. Bio, 2017.
L. Isik, Singer, J., Madsen, J., Kanwisher, N., and Kreiman, G., “What is changing when: Decoding visual information in movies from human intracranial recordings”, Neuroimage, 2017.
L. Isik, Koldewyn, K., Beeler, D., and Kanwisher, N., “Perceiving social interactions in the posterior superior temporal sulcus”, Proceedings of the National Academy of Sciences, vol. 114, no. 43, 2017.
A. Tacchetti, Isik, L., and Poggio, T., “Invariant action recognition dataset”. 2017.
L. Isik, Tacchetti, A., and Poggio, T., “A fast, invariant representation for human action in the visual system.”, J Neurophysiol, p. jn.00642.2017, 2017.
A. Tacchetti, Isik, L., and Poggio, T., “Invariant recognition drives neural representations of action sequences”, PLOS Computational Biology, vol. 13, no. 12, p. e1005859, 2017.
A. Tacchetti, Isik, L., and Poggio, T., “Spatio-temporal convolutional networks explain neural representations of human actions”, 2016.
L. Isik, Tacchetti, A., and Poggio, T., “Fast, invariant representation for human action in the visual system”. 2016.
L. Isik, Tacchetti, A., and Poggio, T., “Invariant representations for action recognition in the visual system”, Computational and Systems Neuroscience. 2015.
A. Tacchetti, Isik, L., and Poggio, T., “Invariant representations for action recognition in the visual system.”, Vision Sciences Society, vol. 15, no. 12. Journal of vision, 2015.
L. Isik, Meyers, E., Leibo, J. Z., and Poggio, T., “The dynamics of invariant object recognition in the human visual system.”, J Neurophysiol, vol. 111, no. 1, pp. 91-102, 2014.
L. Isik, Meyers, E., Leibo, J. Z., and Poggio, T., “The dynamics of invariant object recognition in the human visual system.”. 2014.
T. Poggio, Mutch, J., and Isik, L., “Computational role of eccentricity dependent cortical magnification.”. 2014.
N. Amir, Besold, T. R., Camoriano, R., Erdogan, G., Flynn, T., Gillary, G., Gomez, J., Herbert-Voss, A., Hotan, G., Kadmon, J., Linderman, S. W., Liu, T. T., Marantan, A., Olson, J., Orchard, G., Pal, D. K., Pasquale, G., Sanders, H., Silberer, C., Smith, K. A., de Briton, C. Stein N., Suchow, J. W., Tessler, M. H., Viejo, G., Walker, D., Wehbe, L., Barbu, A., Isik, L., Mackevicius, E., and Meroz, Y., “Abstracts of the 2014 Brains, Minds, and Machines Summer Course”. 2014.